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Karan Singh betting stats, splits & projections

Every figure below is counted from stored ball-by-ball deliveries — no estimates, no averages copied from elsewhere. Splits with fewer balls behind them are marked LOW sample and carry less weight in the model.

Record by format

Formats are never pooled: a twenty-over record tells you nothing about fifty-over scoring, so they are modelled and shown separately.

overallT20941615.967.24.952.5LOW
overallT2018021957.343.8MEDIUM

Against each opponent

Head-to-head record by format. Small head-to-head samples move the model very little — read the sample column before leaning on a line here.

Bowling

FinlandT20788036.226.7LOW
AustriaT20425417.754.0LOW

By venue

Ground-by-ground record. Venue effects are real but slow to prove, so grounds with few balls are shown for transparency rather than used as evidence.

Happy Valley GroundT20520326.762.53.153.1LOW

Bowling

Happy Valley GroundT20969936.233.0LOW
Happy Valley Ground 2T208412028.660.0LOW

By country

Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.

UnknownT20941615.967.24.952.5LOW

Bowling

UnknownT2018021957.343.8MEDIUM

By match phase

Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.

deathT20727355.477.15.745.7LOW

Bowling

middleT2010213638.045.3LOW
powerplayT20606626.633.0LOW

How these splits are used

The same aggregates feed the ball-by-ball simulation behind every projection: format baselines, phase scoring rates, the bowling types a batter will face and the expected attack. See the current match projections on the cricket betting hub and the model's tested record on the cricket model performance page.